This notebook contains a set of analyses for analyzing Coug’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
Coug | training | published before 2020 | 74 | 30 |
Coug | validation | published 2020 | 9 | 5 |
Coug | test | published after 2020 | 18 | 7 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
Coug | Asmodee | 21.6% | 2.6% | 8.41 |
Coug | Dice With Icons | 8.1% | 1.1% | 7.47 |
Coug | Industry Manufacturing | 6.8% | 1.3% | 5.33 |
Coug | Medieval | 18.9% | 4.6% | 4.11 |
Coug | Comic Book Strip | 5.4% | 1.5% | 3.57 |
Coug | Political | 8.1% | 2.3% | 3.51 |
Coug | Science Fiction | 23.0% | 7.5% | 3.05 |
Coug | Fantasy | 35.1% | 11.8% | 2.97 |
Coug | Crowdfunding Kickstarter | 35.1% | 12.5% | 2.80 |
Coug | Selfpublished | 5.4% | 2.6% | 2.07 |
Coug | Variable Phase Order | 2.7% | 1.4% | 1.88 |
Coug | Word Game | 4.1% | 2.3% | 1.79 |
Coug | Area Movement | 8.1% | 5.6% | 1.46 |
Coug | Grid Movement | 9.5% | 7.4% | 1.28 |
Coug | Hexagon Grid | 6.8% | 11.7% | 0.58 |
Coug | Simulation | 1.4% | 10.1% | 0.13 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2017 | 174430 | Gloomhaven | 0.906 | yes |
2 | 2011 | 96848 | Mage Knight Board Game | 0.758 | no |
3 | 2017 | 220308 | Gaia Project | 0.753 | no |
4 | 2019 | 270971 | Era: Medieval Age | 0.692 | no |
5 | 2016 | 167791 | Terraforming Mars | 0.684 | yes |
6 | 2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.620 | no |
7 | 2019 | 281946 | Aftermath | 0.559 | no |
8 | 2005 | 15062 | Shadows over Camelot | 0.549 | no |
9 | 2016 | 187645 | Star Wars: Rebellion | 0.521 | no |
10 | 2017 | 216070 | Hunt for the Ring | 0.509 | no |
11 | 2017 | 188920 | This War of Mine: The Board Game | 0.481 | no |
12 | 2016 | 176083 | Hit Z Road | 0.469 | no |
13 | 2019 | 274364 | Watergate | 0.449 | no |
14 | 2004 | 9609 | War of the Ring | 0.447 | no |
15 | 2007 | 31481 | Galaxy Trucker | 0.432 | no |
16 | 2016 | 205398 | Citadels | 0.426 | no |
17 | 2019 | 253574 | Crusader Kings | 0.424 | no |
18 | 2016 | 191189 | Aeon's End | 0.424 | no |
19 | 2012 | 120677 | Terra Mystica | 0.412 | no |
20 | 2016 | 156858 | Black Orchestra | 0.380 | no |
21 | 2019 | 264220 | Tainted Grail: The Fall of Avalon | 0.373 | yes |
22 | 2016 | 205059 | Mansions of Madness: Second Edition | 0.370 | no |
23 | 2013 | 143693 | Glass Road | 0.359 | no |
24 | 2016 | 169786 | Scythe | 0.358 | no |
25 | 2016 | 205637 | Arkham Horror: The Card Game | 0.356 | no |
26 | 2012 | 122515 | Keyflower | 0.324 | no |
27 | 2009 | 56707 | Colonia | 0.322 | no |
28 | 2018 | 205896 | Rising Sun | 0.316 | no |
29 | 2019 | 285984 | Last Bastion | 0.307 | no |
30 | 2008 | 39463 | Cosmic Encounter | 0.306 | no |
31 | 2006 | 14808 | Marvel Heroes | 0.299 | no |
32 | 2010 | 62227 | Labyrinth: The War on Terror, 2001 – ? | 0.286 | no |
33 | 2010 | 65907 | Mystery Express | 0.284 | no |
34 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.279 | yes |
35 | 2002 | 4098 | Age of Steam | 0.278 | no |
36 | 2018 | 244711 | Newton | 0.276 | no |
37 | 2019 | 272409 | Tiny Epic Tactics | 0.273 | no |
38 | 2008 | 38453 | Space Alert | 0.270 | no |
39 | 2010 | 73439 | Troyes | 0.256 | no |
40 | 2019 | 269385 | The Lord of the Rings: Journeys in Middle-Earth | 0.255 | no |
41 | 2008 | 37046 | Ghost Stories | 0.255 | no |
42 | 2008 | 37111 | Battlestar Galactica: The Board Game | 0.239 | no |
43 | 2019 | 230244 | Black Angel | 0.229 | no |
44 | 1995 | 13 | Catan | 0.228 | no |
45 | 2017 | 221194 | Dinosaur Island | 0.213 | no |
46 | 1994 | 18 | RoboRally | 0.210 | no |
47 | 2018 | 167355 | Nemesis | 0.209 | yes |
48 | 2017 | 209778 | Magic Maze | 0.208 | no |
49 | 2019 | 286096 | Tapestry | 0.201 | no |
50 | 2011 | 70919 | Takenoko | 0.201 | no |
51 | 2011 | 99875 | Martian Dice | 0.187 | no |
52 | 2019 | 231484 | Carnival of Monsters | 0.185 | no |
53 | 2017 | 199383 | Calimala | 0.179 | no |
54 | 1979 | 2097 | Middle Sea: Empires of the Feudal Age | 0.179 | no |
55 | 2014 | 160499 | King of New York | 0.175 | no |
56 | 2015 | 181530 | Runebound (Third Edition) | 0.175 | no |
57 | 2014 | 149112 | Kill Shakespeare | 0.174 | no |
58 | 2019 | 257283 | Tiny Epic Mechs | 0.171 | no |
59 | 2017 | 232918 | Fallout | 0.168 | no |
60 | 2014 | 159508 | AquaSphere | 0.165 | no |
61 | 2018 | 218421 | Street Masters | 0.164 | no |
62 | 2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.162 | no |
63 | 2015 | 171623 | The Voyages of Marco Polo | 0.160 | no |
64 | 2019 | 233868 | HATE | 0.159 | no |
65 | 2017 | 197070 | Massive Darkness | 0.157 | no |
66 | 2008 | 33107 | Senji | 0.155 | no |
67 | 2019 | 238992 | Call to Adventure | 0.155 | no |
68 | 2015 | 176189 | Zombicide: Black Plague | 0.151 | no |
69 | 1988 | 230 | Merchant of Venus | 0.151 | no |
70 | 2012 | 128882 | The Resistance: Avalon | 0.151 | no |
71 | 2017 | 204516 | 878 Vikings: Invasions of England | 0.151 | no |
72 | 2000 | 815 | Chrononauts | 0.146 | no |
73 | 2018 | 237182 | Root | 0.144 | no |
74 | 2016 | 286447 | Ultra Tiny Epic Kingdoms | 0.142 | no |
75 | 2014 | 157354 | Five Tribes | 0.130 | no |
76 | 2005 | 12333 | Twilight Struggle | 0.126 | no |
77 | 2011 | 66190 | New York | 0.125 | no |
78 | 2011 | 85389 | Vampire Werewolf Fairies | 0.125 | no |
79 | 2019 | 264052 | Circadians: First Light | 0.124 | no |
80 | 2018 | 233080 | Book of Dragons | 0.122 | no |
81 | 2010 | 77130 | Sid Meier's Civilization: The Board Game | 0.121 | no |
82 | 2018 | 214032 | Founders of Gloomhaven | 0.120 | no |
83 | 2019 | 260592 | Processing: A Game of Serving Humanity | 0.118 | no |
84 | 2017 | 234769 | Game Off | 0.117 | no |
85 | 2019 | 276025 | Maracaibo | 0.114 | no |
86 | 2019 | 253344 | Cthulhu: Death May Die | 0.113 | no |
87 | 2018 | 249381 | The Estates | 0.111 | no |
88 | 2018 | 257499 | Arkham Horror (Third Edition) | 0.109 | no |
89 | 2006 | 20551 | Shogun | 0.109 | no |
90 | 2010 | 25292 | Merchants & Marauders | 0.108 | no |
91 | 2016 | 205158 | Codenames: Deep Undercover | 0.107 | no |
92 | 2013 | 143741 | BANG! The Dice Game | 0.107 | no |
93 | 2015 | 155708 | Tiny Epic Defenders | 0.106 | no |
94 | 2019 | 283294 | Yukon Airways | 0.105 | no |
95 | 2019 | 217576 | Hellenica: Story of Greece | 0.102 | no |
96 | 2017 | 226562 | Immortals | 0.101 | no |
97 | 2017 | 191051 | Outlive | 0.100 | no |
98 | 2018 | 313010 | Cosmic Encounter: 42nd Anniversary Edition | 0.099 | no |
99 | 2006 | 25417 | BattleLore | 0.099 | no |
100 | 1994 | 1552 | Illuminati: New World Order | 0.098 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.87 |
Decision Tree | roc_auc | binary | 0.78 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think Coug is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2011 | 96848 | Mage Knight Board Game | 0.758 | no |
2017 | 220308 | Gaia Project | 0.753 | no |
2019 | 270971 | Era: Medieval Age | 0.692 | no |
2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.620 | no |
2019 | 281946 | Aftermath | 0.559 | no |
What games does the model think Coug is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2018 | 255708 | Trekking the National Parks: Second Edition | 0.000 | yes |
2009 | 46213 | Telestrations | 0.000 | yes |
2019 | 263918 | Cartographers | 0.001 | yes |
1997 | 105 | Colossal Arena | 0.001 | yes |
1985 | 1836 | Solarquest | 0.001 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Terra Mystica | Glass Road | King of New York | Runebound (Third Edition) | Terraforming Mars | Gloomhaven | Rising Sun | Era: Medieval Age |
2 | Keyflower | BANG! The Dice Game | Kill Shakespeare | The Voyages of Marco Polo | Star Wars: Rebellion | Gaia Project | Newton | Clank!: Legacy – Acquisitions Incorporated |
3 | Robinson Crusoe: Adventures on the Cursed Island | Justice League: Axis of Villains Strategy Game | AquaSphere | Zombicide: Black Plague | Hit Z Road | Hunt for the Ring | Nemesis | Aftermath |
4 | The Resistance: Avalon | Room 25 | Five Tribes | Tiny Epic Defenders | Citadels | This War of Mine: The Board Game | Street Masters | Watergate |
5 | Android: Netrunner | Firefly: The Game | Sheriff of Nottingham | Tiny Epic Galaxies | Aeon's End | Twilight Imperium: Fourth Edition | Root | Crusader Kings |
6 | Tokaido | Lewis & Clark: The Expedition | Orléans | Metal Adventures | Black Orchestra | Dinosaur Island | Book of Dragons | Tainted Grail: The Fall of Avalon |
7 | Freedom: The Underground Railroad | Tomorrow | Witness | Het Koninkrijk Dominion | Mansions of Madness: Second Edition | Magic Maze | Founders of Gloomhaven | Last Bastion |
8 | Yedo | A Study in Emerald | Pandemic: The Cure | Coffee Roaster | Scythe | Calimala | The Estates | Tiny Epic Tactics |
9 | Space Cadets | Forbidden Desert | Mythotopia | Kingdom Death: Monster | Arkham Horror: The Card Game | Fallout | Arkham Horror (Third Edition) | The Lord of the Rings: Journeys in Middle-Earth |
10 | Rex: Final Days of an Empire | Patchistory | Machina Arcana | Grimslingers | Ultra Tiny Epic Kingdoms | Massive Darkness | Cosmic Encounter: 42nd Anniversary Edition | Black Angel |
11 | Seasons | 1775: Rebellion | Bucket of Doom | Harbour | Codenames: Deep Undercover | 878 Vikings: Invasions of England | Architects of the West Kingdom | Tapestry |
12 | The Manhattan Project | Gravwell: Escape from the 9th Dimension | Roll Through the Ages: The Iron Age | Loop Inc. | 13 Days: The Cuban Missile Crisis | Game Off | Château Aventure | Carnival of Monsters |
13 | Shadows over Camelot: The Card Game | Craftsmen | Splendor | Star Trek: Five-Year Mission | Tiny Epic Western | Immortals | War for Indagar | Tiny Epic Mechs |
14 | Defenders of the Realm: Battlefields | The Doom That Came to Atlantic City | Abyss | 504 | New Angeles | Outlive | Star Wars: X-Wing (Second Edition) | HATE |
15 | Zug um Zug: Deutschland | Batman: Arkham City Escape | Fairytale Games: The Battle Royale | Exploding Kittens | Corrupted Kingdoms | Too Many Bones | Underwater Cities | Call to Adventure |
16 | Wiz-War (Eighth Edition) | Gearworld: The Borderlands | Meteor | Achaia | Exceed Fighting System | Cutthroat Kingdoms | Brass: Birmingham | Circadians: First Light |
17 | Escape: The Curse of the Temple | Packet Row | Heroes Wanted | T.I.M.E Stories | Ticket to Ride: First Journey (U.S.) | Dark Souls: The Board Game | Wings of Glory: Tripods & Triplanes | Processing: A Game of Serving Humanity |
18 | Zombicide | Kings of Air and Steam | Onward to Venus | The King Is Dead | Aventuria: Adventure Card Game | Spirit Island | Heroes of Land, Air & Sea | Maracaibo |
19 | Munchkin Conan | Moby Dick, or, The Card Game | Sons of Anarchy: Men of Mayhem | Roots: A Game of Inventing Words | Secret Hitler | The Thing: Infection at Outpost 31 | The Reckoners | Cthulhu: Death May Die |
20 | Exile Sun | The Little Prince: Make Me a Planet | La Granja | Thunderbirds | Coal Baron: The Great Card Game | First Martians: Adventures on the Red Planet | Fireball Island: The Curse of Vul-Kar | Yukon Airways |
21 | The Great Zimbabwe | Pathfinder Adventure Card Game: Rise of the Runelords – Base Set | DungeonQuest Revised Edition | Exploding Kittens: NSFW Deck | Mistfall: Heart of the Mists | Breaking Bad: The Board Game | Everdell | Hellenica: Story of Greece |
22 | Archipelago | Overlords: The Card Game | Smash Up: Monster Smash | Brewin' USA | Martians: A Story of Civilization | Mistborn: House War | Duelosaur Island | Marvel Champions: The Card Game |
23 | Wallenstein (Second Edition) | Mascarade | The Battle of Five Armies | Argent: The Consortium | Pandemic: Reign of Cthulhu | Flatline | Tiny Epic Defenders (Second Edition) | Barrage |
24 | Agents of SMERSH | Funemployed | Irish Gauge | DRCongo | Explorers of the North Sea | Century: Spice Road | Pandemic: Fall of Rome | Zombicide: Dark Side |
25 | Dixit: Journey | City of Iron | The Worst Game Ever | Blood Rage | Robo Rally | Itchy Feet: the Travel Game | Dawn of Peacemakers | Slyville |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
Coug | owned | validation | GLM | roc_auc | 0.908 |
Coug | owned | validation | Decision Tree | roc_auc | 0.715 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.621 | yes |
2020 | 256317 | Guild Master | 0.512 | no |
2020 | 316554 | Dune: Imperium | 0.346 | no |
2020 | 233262 | Tidal Blades: Heroes of the Reef | 0.261 | no |
2020 | 317105 | Tiny Epic Galaxies BLAST OFF! | 0.171 | no |
2020 | 184267 | On Mars | 0.153 | yes |
2020 | 257145 | Teenage Mutant Ninja Turtles Adventures: City Fall | 0.142 | no |
2020 | 256999 | Project: ELITE | 0.136 | no |
2020 | 263192 | Teenage Mutant Ninja Turtles Adventures: Change is Constant | 0.106 | no |
2020 | 291508 | Tiny Epic Dinosaurs | 0.098 | no |
2020 | 296237 | Warp's Edge | 0.095 | no |
2020 | 296151 | Viscounts of the West Kingdom | 0.083 | no |
2020 | 313698 | Monster Expedition | 0.080 | no |
2020 | 287033 | Gray Eminence | 0.065 | no |
2020 | 311927 | Long Live the King: A Game of Secrecy and Subterfuge | 0.061 | no |
2020 | 318084 | Furnace | 0.059 | no |
2020 | 280794 | Etherfields | 0.057 | no |
2020 | 262274 | D6: Dungeons, Dudes, Dames, Danger, Dice and Dragons! | 0.056 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.054 | no |
2020 | 312965 | Hogs of War: The Miniatures Game | 0.053 | no |
2020 | 284639 | Gatefall | 0.053 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.048 | no |
2020 | 311193 | Anno 1800 | 0.047 | no |
2020 | 291874 | Dwergar | 0.047 | no |
2020 | 236861 | Full Moon Jacket | 0.046 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.046 | no |
2020 | 207486 | Infinities: Defiance of Fate | 0.044 | no |
2020 | 310442 | Feierabend | 0.044 | no |
2020 | 316377 | 7 Wonders (Second Edition) | 0.044 | no |
2020 | 271055 | Dwellings of Eldervale | 0.040 | yes |
2020 | 294484 | Unmatched: Cobble & Fog | 0.040 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.039 | no |
2020 | 302465 | Obsidia | 0.037 | no |
2020 | 301880 | Raiders of Scythia | 0.035 | no |
2020 | 281655 | High Frontier 4 All | 0.035 | no |
2020 | 266188 | Seven Bridges | 0.034 | no |
2020 | 256964 | Dark Rituals: Malleus Maleficarum | 0.034 | no |
2020 | 309600 | Archers of Nand | 0.034 | no |
2020 | 295687 | Trust Me, I'm a Doctor | 0.033 | no |
2020 | 249275 | The Silver River | 0.033 | no |
2020 | 284998 | Reigns: The Council | 0.032 | no |
2020 | 316412 | The LOOP | 0.031 | no |
2020 | 300322 | Hallertau | 0.030 | no |
2020 | 295905 | Cosmic Frog | 0.030 | no |
2020 | 289939 | Goblin Teeth | 0.029 | no |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.029 | no |
2020 | 272739 | Clinic: Deluxe Edition | 0.028 | no |
2020 | 204470 | The Stygian Society | 0.028 | no |
2020 | 284777 | Unmatched: Jurassic Park – InGen vs Raptors | 0.028 | no |
2020 | 309630 | Small World of Warcraft | 0.027 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Published | ID | Name | Pr(Owned) | Owned |
2022 | 331106 | The Witcher: Old World | 0.864 | no |
2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.630 | no |
2022 | 319807 | Shogun no Katana | 0.353 | no |
2022 | 322524 | Bardsung | 0.353 | no |
2022 | 295770 | Frosthaven | 0.351 | no |
2022 | 317321 | Darkest Dungeon: The Board Game | 0.223 | no |
2021 | 344277 | Corrosion | 0.219 | no |
2021 | 260524 | Beyond Humanity: Colonies | 0.201 | no |
2022 | 300217 | Merchants of the Dark Road | 0.191 | yes |
2022 | 299106 | Fractal: Beyond the Void | 0.158 | no |
2021 | 331787 | Tiny Epic Dungeons | 0.152 | no |
2022 | 251661 | Oathsworn: Into the Deepwood | 0.152 | no |
2021 | 273330 | Bloodborne: The Board Game | 0.150 | no |
2021 | 299566 | Batman: The Animated Series Adventures – Shadow of the Bat | 0.142 | no |
2021 | 285967 | Ankh: Gods of Egypt | 0.138 | yes |
2021 | 343905 | Boonlake | 0.134 | no |
2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.134 | no |
2021 | 249277 | Brazil: Imperial | 0.132 | no |
2021 | 316287 | Quest | 0.121 | no |
2021 | 342942 | Ark Nova | 0.116 | yes |
2021 | 336382 | Marvel United: X-Men | 0.113 | yes |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.098 | no |
2022 | 283137 | Human Punishment: The Beginning | 0.098 | no |
2021 | 256680 | Return to Dark Tower | 0.094 | yes |
2021 | 342848 | World of Warcraft: Wrath of the Lich King | 0.093 | no |
2021 | 285192 | Destinies | 0.085 | no |
2021 | 309319 | Apogee | 0.084 | no |
2021 | 331549 | MiniQuest Adventures | 0.083 | no |
2021 | 283387 | Rocketmen | 0.076 | no |
2021 | 340237 | Wonder Book | 0.073 | no |
2021 | 340466 | Unfathomable | 0.073 | no |
2022 | 311988 | Frostpunk: The Board Game | 0.073 | no |
2023 | 351817 | Marvel Zombies: A Zombicide Game | 0.071 | no |
2022 | 349793 | Age of Rome | 0.070 | no |
2023 | 337627 | Voidfall | 0.066 | no |
2021 | 304985 | Dark Ages: Holy Roman Empire | 0.062 | no |
2021 | 295535 | Dark Ages: Heritage of Charlemagne | 0.062 | no |
2022 | 273814 | Deliverance | 0.060 | no |
2021 | 291859 | Riftforce | 0.060 | no |
2023 | 274471 | Malhya: Lands of Legends | 0.060 | no |
2022 | 275284 | Arkeis | 0.058 | no |
2021 | 336195 | League of Dungeoneers | 0.055 | no |
2021 | 280984 | Ruins: Death Binder | 0.055 | no |
2021 | 309250 | Empyrean Hero: The Card Game | 0.052 | no |
2022 | 310873 | Carnegie | 0.051 | no |
2021 | 315937 | X-Men: Mutant Insurrection | 0.051 | no |
2021 | 295785 | Euthia: Torment of Resurrection | 0.050 | no |
2022 | 284842 | So, You've Been Eaten | 0.049 | no |
2021 | 326804 | Rorschach | 0.047 | no |
2021 | 331635 | Kameloot | 0.046 | no |
2021 | 343696 | Dune: Betrayal | 0.043 | no |
2022 | 317511 | Tindaya | 0.043 | no |
2021 | 326494 | The Adventures of Robin Hood | 0.042 | no |
2021 | 281676 | Galactic Era | 0.039 | no |
2022 | 342900 | Earthborne Rangers | 0.039 | no |
2022 | 330950 | Age of Galaxy | 0.038 | no |
2021 | 306202 | Philosophia: Floating World | 0.037 | no |
2021 | 308989 | Bristol 1350 | 0.036 | no |
2021 | 320136 | Naruto: Ninja Arena | 0.036 | no |
2021 | 294986 | Necromolds: Monster Battles | 0.035 | no |
2022 | 322656 | burncycle | 0.035 | no |
2021 | 322708 | Descent: Legends of the Dark | 0.034 | no |
2022 | 316915 | U.S.S. Freedom | 0.034 | no |
2021 | 338980 | Eastern Empires | 0.034 | no |
2022 | 304051 | Creature Comforts | 0.031 | no |
2022 | 305096 | Endless Winter: Paleoamericans | 0.031 | no |
2021 | 337324 | A.D.E.L.E. | 0.031 | no |
2021 | 290236 | Canvas | 0.031 | yes |
2022 | 317398 | Velocity: Vanguard | 0.031 | no |
2021 | 301366 | Caves of Rwenzori | 0.030 | no |
2022 | 308028 | Drop Drive | 0.029 | no |
2022 | 337098 | Lords of Vaala: Dragonbond | 0.028 | no |
2021 | 247585 | Waste Knights: Second Edition | 0.028 | no |
2021 | 281248 | Cape May | 0.028 | no |
2022 | 274124 | Northgard: Uncharted Lands | 0.027 | no |
2021 | 341169 | Great Western Trail (Second Edition) | 0.027 | yes |
2021 | 329593 | Settlement | 0.027 | no |
2021 | 309430 | Tiny Epic Pirates | 0.027 | yes |
2021 | 340909 | Gloomholdin' | 0.026 | no |
2021 | 206757 | Glory: A Game of Knights | 0.025 | no |
2021 | 292375 | The Great Wall | 0.025 | yes |
2021 | 284653 | Mind MGMT: The Psychic Espionage “Game.” | 0.025 | no |
2021 | 298383 | Golem | 0.025 | no |
2022 | 326175 | The Smoky Valley | 0.024 | no |
2022 | 321608 | Hegemony: Lead Your Class to Victory | 0.024 | no |
2021 | 341048 | Free Ride | 0.023 | no |
2021 | 348461 | Castle Break | 0.023 | no |
2021 | 262201 | Sword & Sorcery: Ancient Chronicles | 0.023 | no |
2021 | 337961 | Transformers Deck-Building Game | 0.023 | no |
2022 | 305462 | The Age of Atlantis | 0.023 | no |
2022 | 284118 | Mechanical Beast | 0.023 | no |
2022 | 252315 | The Everrain | 0.022 | no |
2021 | 312904 | Conan the Cimmerian: The Tower of the Elephant | 0.022 | no |
2021 | 319999 | Dungeon Decorators | 0.022 | no |
2022 | 331947 | Storm Weavers | 0.021 | no |
2021 | 239189 | Chronicle X | 0.021 | no |
2021 | 339789 | Welcome to the Moon | 0.021 | no |
2021 | 277080 | Titans | 0.021 | no |
2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.021 | no |
2021 | 316786 | Tabannusi: Builders of Ur | 0.021 | no |